Fetch vs Scrupp
A side-by-side look at the Fetch and Scrupp MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Fetch for search & data extraction work as a local process; choose Scrupp for search & data extraction as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose Fetch when
- You need dedicated capabilities in the Search & Data Extraction domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: No auth required.
- You want tools like
create_entities, create_relations, add_observations.
Choose Scrupp when
- You need dedicated capabilities in the Search & Data Extraction domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: API key required.
- You have the keys it needs:
SCRUPP_API_KEY, SCRUPP_WAIT_SECONDS, PORT, MCP_PUBLIC_URL, SCRUPP_AUTH_SERVER_URL, SCRUPP_API_URL.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Search & Data Extraction | Search & Data Extraction |
| Quality signal | 90/100 · Excellent | 39/100 · Fair |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | No auth required | API key required |
| Pricing | Free | BYOK (pay the provider) |
| Required env vars | None listed | SCRUPP_API_KEYSCRUPP_WAIT_SECONDSPORTMCP_PUBLIC_URLSCRUPP_AUTH_SERVER_URL |
Tools & capabilities
Fetch tools 9
create_entitiesCreate multiple new entities in the knowledge graphcreate_relationsCreate multiple new relations between entities in the knowledge graph. Relations should be in active voiceadd_observationsAdd new observations to existing entities in the knowledge graphdelete_entitiesDelete multiple entities and their associated relations from the knowledge graphdelete_observationsDelete specific observations from entities in the knowledge graphdelete_relationsDelete multiple relations from the knowledge graphread_graphRead the entire knowledge graphsearch_nodesSearch for nodes in the knowledge graph based on a queryopen_nodesOpen specific nodes in the knowledge graph by their names
Scrupp tools
No tool names declared yet. Check the project README from the listing page.
Ready-to-paste client configs
Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
Fetch
{
"mcpServers": {
"fetch": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-memory"
]
}
}
}
Scrupp
{
"mcpServers": {
"scrupp": {
"command": "npx",
"args": [
"-y",
"scrupp-mcp-server"
],
"env": {
"SCRUPP_API_KEY": "YOUR_SCRUPP_API_KEY_HERE",
"SCRUPP_WAIT_SECONDS": "YOUR_SCRUPP_WAIT_SECONDS_HERE",
"PORT": "YOUR_PORT_HERE",
"MCP_PUBLIC_URL": "YOUR_MCP_PUBLIC_URL_HERE",
"SCRUPP_AUTH_SERVER_URL": "YOUR_SCRUPP_AUTH_SERVER_URL_HERE",
"SCRUPP_API_URL": "YOUR_SCRUPP_API_URL_HERE"
}
}
}
}
Frequently asked questions
Fetch is categorized under Search & Data Extraction and uses a local stdio subprocess. Scrupp belongs to Search & Data Extraction and uses a local stdio subprocess. Pick Fetch for search & data extraction work and Scrupp for search & data extraction.
Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.
Fetch is listed as free. Auth: no auth required. Scrupp is bring-your-own-key: usage is billed by the API provider you supply a key for. Auth: api key required. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.
Yes. MCP clients support multiple servers: add fetch and scrupp as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Fetch has a quality signal of 90/100 (Excellent) with 4 views, 0 installs and 91,147 GitHub stars. Scrupp has 39/100 (Fair) with 0 views, 0 installs and 0 GitHub stars.